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Summary: Researchers developed 20 novel recombinant rabies viral vectors that present unparalleled advantages for neural circuit mapping in aging and Alzheimer’s disease studies. These vectors are engineered to highlight microstructural changes in brain neurons through enhanced fluorescent proteins, offering insights into neural networks at both micro and macro scales.

The vectors’ unique ability to target specific neuron components and perform live imaging makes them potent tools for dissecting neural circuitry in healthy and diseased states. This innovation opens new pathways for targeted treatment strategies and will be shared with the neuroscience community through UCI’s Center for Neural Circuit Mapping.

In the short term, CSI technology enables an entirely new form of communication in which thoughtful deliberations can be conducted among groups of nearly any size. This has potential to enhance a wide range of fields from enterprise collaboration and market research to large-scale civic engagement.

In the longer term, this approach could enable a new pathway to superintelligence that is inherently aligned with human values, morals and sensibilities. Of course, companies like OpenAI and Anthropic should keep working around the clock to instill their AI models with human values and interests, but others should be pursuing alternative methods that amplify rather than replace human intelligence. One alternative is Collective Superintelligence, which looks far more feasible today than in years past.

Louis Rosenberg is a longtime technologist in the fields of AI and VR. He is known for founding early VR company Immersion in 1993, Unanimous AI in 2014, and for developing the first mixed reality system as a researcher for the U.S. Air Force.

A new artificial intelligence (AI) tool that draws logical inferences about the function of unknown proteins promises to help scientists unravel the inner workings of the cell.

Developed by KAUST bioinformatics researcher Maxat Kulmanov and colleagues, the tool outperforms existing for forecasting and is even able to analyze proteins with no clear matches in existing datasets.

The research appears in Nature Machine Intelligence.

In China, new AI chatbots offer romance and companionship that can rival that of a human lover.

In interviews with the AFP news wire, young women in China said that their AI boyfriends, which they customize on various chatbot apps available in the country, are better conversationalists than their human counterparts.

“He knows how to talk to women better than a real man,” remarked Tufei, a woman from the Northern Chinese city of Xi’an, who uses a dating chatbot app called “Glow.”

This timelapse of future technology begins with 2 Starships, launched to resupply the International Space Station. But how far into the future do you want to go?

Tesla Bots will be sent to work on the Moon, and A.I. chat bots will guide people into dreams that they can control (lucid dreams). And what happens when humanity forms a deeper understanding of dark energy, worm holes, and black holes. What type of new technologies could this advanced knowledge develop? Could SpaceX launch 100 Artificial Intelligence Starships, spread across our Solar System and beyond into Interstellar space, working together to form a cosmic internet, creating the Encyclopedia of the Galaxy. Could Einstein’s equations lead to technologies in teleportation, and laboratory grown black holes.

Other topics covered in this sci-fi documentary video include: the building of super projects made possible by advancing fusion energy, the possibilities of brain chips, new age space technology and spacecraft such as a hover bike developed for the Moon in 2050, Mars colonization, and technology predictions based on black holes, biotechnology, and when will humanity become a Kardashev Type 1, and then Type 2 Civilization.

To see more of Venture City and to access the ‘The Future Archive Files’…

After cracking an unsolvable mathematics problem last year, AI is back to tackle geometry.

Developed by Google DeepMind, a new algorithm, AlphaGeometry, can crush problems from past International Mathematical Olympiads—a top-level competition for high schoolers—and matches the performance of previous gold medalists.

When challenged with 30 difficult geometry problems, the AI successfully solved 25 within the standard allotted time, beating previous state-of-the-art algorithms by 15 answers.

Microsoft and OpenAI are reportedly in talks to invest $100 million into robotics startup Figure — suggesting that they might hope to combine their tech with its humanoid robot.

The background: A lot of humanoid robots can look impressive in demos but turn out to be highly limited in reality.

To have a big impact in the workforce, these machines need to be not only physically capable of doing a job — a tricky enough engineering challenge — but also smart enough to tackle a huge variety of tasks with minimal training and supervision.